A new series of posts on LessWrong explores the fundamental nature of probabilities, questioning whether they are the most appropriate concept for understanding uncertainty. The author aims to develop a unified framework for Bayesian priors, ethics, and other complex questions, building on the work of various researchers. This initial post critiques existing definitions of probability, including frequentist and subjective Bayesian views, and suggests they are insufficient for real-world predictions and subjective beliefs. AI
IMPACT Explores foundational concepts relevant to AI reasoning and decision-making under uncertainty.
RANK_REASON The item is an opinion piece discussing philosophical concepts related to AI and probability, rather than a direct release or significant industry event.
- Bayesian
- Joe Carlsmith
- LessWrong
- Lukas Finnveden
- Paul Christiano
- Ryan Greenblatt
- Scott Garrabrant
- Vivek Hebbar
- Wei Dai
- Richard Ngo
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